[Why] client example need to make install

* Add GEMM examples for int4

Currently the source files are just copied from int8 examples

* Re-use pre-defined alias in int4 exmples

* Distinguish user-side type from kernel-side type

* Add int4_t support for check_err()

* Allow conversion between Tensor<> specializations

* Re-format source files

* Use different type for host tensors

* Re-use CopyAsType<>() to implement copy ctor

* Re-use element-wise operation type alias

* Fix typo in alias names

* Complete the int4 examples

* Add constraint to Tensor<> templated methods

* Add type traits 'is_signed_integral<>'

* Add type constraints for integer version check_err<>()

* Allow comparing different-sized integral types in check_err()

* Check converted Tensor<int4_t> with golden Tensor<int8_t>

* Remove constraint of Tensor<>::CopyAsType()

* Avoid compilation error while disabling ck::int4_t support

* Remove debug messages

* Add #error directive to prevent compile sources with wrong setting

* Simplify tensor usages in examples

* Add constraint to check_err() input reference type

* Align design with other PR

* Use ""_uz to simplify example code

* Avoid too much generalizing check_err()

* Re-format GEMM instance template arguments

* Extract int4 example common codes

* Sort include directives

* Move #include directives into new header

* Move common codes together

* Re-format template argument in example code

* Reuse same implementation code for most of GEMM examples

* Re-format common.hpp

* Unify structured comment in examples

* Use reinterpret_cast<>() for cross-type pointer conversion

* Revert "Add type traits 'is_signed_integral<>'"

This reverts commit f2c148ef.

* Allow unsigned integer arguments for check_err()

* Fix compilation error in check_err()

* Remove unnecessary copy ctor for Tensor<>

* Mark Tensor<> special member functions as 'default'

* Use more strict condition to add code in examples

* Fix wrong program return value of GEMM examples

* Handle the case while user specify all the strides

* Fix never-ran examples

* Exit successfully if GEMM instance does not support given problem

* Add missing 'else' keyword

* Re-format CMakeLists.txt

* Add wrapper function to hide value conversion while copying memory

* Add new DeviceMem API to copy memory

* Use new DeviceMem API to implement examples

* Revert "Add new DeviceMem API to copy memory"

This reverts commit 3f190b07.

* Add conversion ctor for Tensor<>

* Write Tensor<> conversion logics explicitly in example code

* Convert Tensor<> values after transfer data to host

* comment on specialization for TensorSpecialization::Packed

* gemm_softmax_gemm with output permutation

* scaling

* refactor MatrixPadder; rename to GemmPadder

* remove old sanity check

* restore original gemm_softmax_gemm

* revise comment in gemm_softmax_gemm example

* use GetElementSpaceSize()

* remove extra header

* typo

* remove archaic DeviceOpPtr

* add examples into grouped/batched_gemm

* adding splitK examples

* fixed splitK

* add bfp16 int8 example into splitK

* formatting

* use static_cast

* added common for batched_gemm

* add commons for examples of splitK/batched/grouped_gemm

* return true

* adjust splitK check tol

* update example
Co-authored-by: Chao Liu <lc.roy86@gmail.com>

* Add custom target to bundle examples together

* Add int4 example conditionally (just copy from int8 example)

* Extract common code into common.hpp

* Move ref gemm type alias into data-type-specific sources

* Add #error directive to prevent compile with wrong setting

* Let AddAddFastGelu support int4 parameter type

* Let check_err() support int4 parameter type

* Add wrapper function to hide value conversion while copying memory

* Finish int4 example for GEMM + AddAddFastGelu

* Add new DeviceMem API to copy memory

* Use new DeviceMem API to implement examples

* Fix wrongly use of macro 'CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4'

* Revert "Add new DeviceMem API to copy memory"

This reverts commit e26e7af7.

* Add conversion ctor for Tensor<>

* Add 'const' specifier to Tensor<>::CopyAsType()

* Convert Tensor<> values before/after transfer between host & device

* GemmPadder and GemmGemmPadder

* proper padding using GemmGemmPadder

* test gemm_gemm padding

* properly check size K in IsSupportedArgument()

* properly check size requirement given SrcScalarPerVector in IsSupportedArgument()

* comment

* format

[Why] We need to sync lds even in first loop because Gemm also use the same LDS.

* restart the stages on MI200

* fix the docker image storage issue

* Introduce int4 data type.

* Add unit-tests for int4

* Compile int4 UT only when int4 enabled.

* clang-format
Co-authored-by: Adam Osewski <aosewski@amd.com>

* avoid LDS data hazard in gemm_softmax_gemm pipeline

* trivial refactors

* comments

* shrink blockwise gemm v2 thread buffer size

* reclaim A block lds space when during 2nd gemm

* amend

* amend

* Implement multiple-reduction in one kernel (kernels, device ops, examples)

* Add generic elementwise kernel and device interface

* Add generator for normal-distributed data initialization

* Add host refer implementation of batchnorm-forward and batchnorm-infer

* Add examples for implementing batchnorm-forward and batchnorm-infer using generic kernels

* Remove un-needed including in batchnorm example

* Renaming generic_elementwise to elementiwise in kernel and device classes/functions

* Change in gemm_layernorm examples to use DeviceElementwise instead of Device5AryElementwise

* Change in exampe 19_binary_elementwise to use DeviceElementwise instead of DeviceBinaryElementwise

* Change in device_cgemm_4gemm_xdl_cshuffle.hpp to use kernel_elementwise instead of kernel_binary_elementwise

* Add DeviceElementwiseBase and use it in device_normalize_instance.cpp

* Removing and renaming files

* Update to synchronize gemm_layernorm client example to the generic element-wise device op API

* Update to synchronize with the latest headers directory and HostTensorDescriptor interface renaming

* Merge two static member functions in device_elementwise.hpp

* Remove unary_elementwise_1d kernel and device

* fix build

* excludeexample_gemm_max_xdl_fp16 from testing due to random failure on gfx908

* Change all device operations to use add_instance_library to avoid duplicated cmake configuration.

* update DeviceMem
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* Add threadwise and blockwise welford

* Rename gridwise op, prepare to add welford version

* implement welford and integrate welford into layernorm

* Take care of tail loop

* Fix buf when ThreadSliceK > 1

* Fix bug of merging of two empty set

* Rename clip to clamp

* 1. Fix type of count
2. Remove useless static_assert

* Do not inherit Reduction::Argument

* [What] replace __syncthreads() with block_sync_lds()
[Why] __syncthreads might wait both lgkmcnt(0) and vmcnt(0)

* Add y stride

* Rename.
DeviceLayernorm -> DeviceLayernormImpl
DeviceNormalization2 -> DeviceLayernorm

* Move literal ""_uz & ""_zu into namespace 'literals'

* Move namespace 'literals' as 'ck::literals'
Co-authored-by: Po-Yen, Chen <PoYen.Chen@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* initial stub for gemm_gemm_xdl_cshuffle

* set up example code

* compiles

* prevent integer overflow

* harmonize interface between ref_gemm and ref_batched_gemm

* batched_gemm_gemm

* fix example

* host tensor gen: diagonal pattern in lowest two-dimensions only

* make c descriptors containing only integral constants

* clean up

* add BlockwiseGemmXdlops_v2 while exploring an unified approach

* implement proper interface

* tidy up example

* fix compilation warnings

* coarsely controlled 2nd gemm padding

* remove rocm-cmake's hard requirement for certain revision

* clang-format

* resolve merge conflict

* fix compilation error on gfx10

* adds acc0 elementwise op to interface

* add gemm_gemm instances and tests

* avoid LDS data hazard

* fix build
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* start

* read for gridwise gemm

* add MakeBGridDescriptor_K0_N0_N1_N2_N3_K1

* add thread  copy desc and register buffer

* add K0PerBlock dim

* add read global data

* finish gridwise gemm

* finish blockwise gemm

* add print data

* add smallest config

* add compare code for gridwis gemm

* fix NXdlPerWave

* fix k0perthread and gridewis gemm main loop

* remove b matrix lds alloc

* fix name

* add test code

* create b_grid_desc_k0_k1_k2_n0_n1_n2_n3_k3 from parameter

* add double register

* modify b_thread_desc_

* add float

* fp16 tag

* add tail for pipeline

* finish main loop

* optimize main loop

* start clear gridwise gemm

* clear code

* clear redundant code

* change file name

* change file name

* fix bug after merge develop

* fix input parameters

* using MultiK0 control b load data loop

* fix some config

* 4 buffer

* fix bug

* one can use

* change read order

* change buffer array to tuple

* change to 8 buffer

* interleave buffer load

* change to 16

* read 8 buffer

* add data buffer to template

* fix after merge develop(head file)

* format

* change to 4 buffer

* remove unnecessary lambda fun

* Update the reduce_blockwise example to support user specified data type and input+reducing dimensions

* Add examples for using reduce_multiblock_atomic_add

* Add more running examples to the default command-line

* Remove un-necessary header including

* Update to the example README.md

* Imitate XXX_gemm_multiple_d, add XXX_gemm_multiple_d_multiple_r for gemm + reduction

* Implement run of kernel

* Add example

* Fix parameter of typo

* Rewrite the reduceMax example

* Rewrite the reduceMean + reduceMeanSquare example

* Refine naming

* Refine folder name

* refine naming

* Rewrite the gemm + bias + relu + add + layernorm example

* Rewrite the gemm + layernorm example

* clang-format

* Fix bug if sync lds

* Fix compile error

* initial stub for gemm_gemm_xdl_cshuffle

* set up example code

* compiles

* prevent integer overflow

* harmonize interface between ref_gemm and ref_batched_gemm

* batched_gemm_gemm

* fix example

* host tensor gen: diagonal pattern in lowest two-dimensions only

* make c descriptors containing only integral constants

* clean up

* add BlockwiseGemmXdlops_v2 while exploring an unified approach

* implement proper interface

* tidy up example

* fix compilation warnings

* coarsely controlled 2nd gemm padding

* remove rocm-cmake's hard requirement for certain revision

* clang-format

* resolve merge conflict

* fix compilation error on gfx10

* adds acc0 elementwise op to interface

* attention host validation

* add blockwsie softmax v1

* iteratively update softmax+gemm

* transpose both gemm0 and gemm1 xdl output so as to avoid broadcasting softmax max/sum

* add init method for easier debugging

* do away with manual thread cluster calculation

* generalize blockwise softmax interface

* row-wise softmax sum & max

* format

* rename to DeviceBatchedGemmSoftmaxGemm

* add gemm_softmax_gemm instances and tests

* comment
Co-authored-by: ltqin <letao.qin@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* Move literal ""_uz & ""_zu into namespace 'literals'

* Move namespace 'literals' as 'ck::literals'

* [LWPCK-359] Initial commit

* Working version for fp16, add results to readme

* Update according to PR #341

* Update results in readme

* Add fp32 example

* Add bf16 example

* Update fp16 and fp32 examples

* Add int8 example

* Add separate lengths and strides tensors for D tensors
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com>

* build docker in separate stage

* build docker with only one prefix

* add parallel statement

* add docker repo url

* fix the name of perf_conv_bwd_data log file

* Add always_false<> util to delay symbol resolution

* Use always_false<> to prevent trying instantiate unwanted method

* Add new specializations of AddAddFastGelu::operator() method

* Add GEMM + AddAddFastGelu examples for data types: int8, bf16, fp32

* Use floating point literal to simplify code

* Remove unnecessary capture in lambda expressions

* Extract fast GeLU calculation as standalone method

* Mark methods as 'constexpr'

* Add constraint for HostTensorDescriptor templated ctors

* Simplify HostTensorDescriptor ctor calls

* Add C++23 std::size_t literal suffix

* Use _uz suffix to shorten example code

* Remove unnecessary conversion to std::array<>

* Re-order include directives

* Remove C-style casting by literal suffix

* Remove unnecessary statements in main()

* Remove unused type parameter of always_false<>

* Remove unused include directive

* Exit main() by returning meaningful value

* Use 'if constexpr' to switch example flow

* Use std::is_same_v<> to shorten example code

* Add 'inline' specifier to literal functions

* Unify output methods in example

* Move common codes into .inc file

* Add type check in type_convert<>()

* Add type_convert<float>() before computation

* Merge AddAddFastGelu method specializations

* Remove always_false<>

* Add constraint to AddAddFastGelu::operator() parameter types

* Refine parameter

* Add base class for layernorm

* Add layernorm instance

* Add layernorm to ckProfiler

* Remove redundant

* Add verification

* Fix compile error due to merge

* convnd_fwd fp16 example

* update example

* update example

* update instance

* updating refernce conv

* update reference conv

* update conv fwd profiler

* update conv 1d and 3d instance

* update include path

* clean

* update profiler for conv bwd data and weight

* update conv bwd weight

* clean

* update conv example

* update profiler for conv bwd weight

* update ckprofiler for conv bwd data

* fix reference conv bwd data bug; update conv bwd data test

* update examples

* fix initialization issue

* update test for conv fwd

* clean

* clean

* remove test case too sensitive to error threshhold

* fix test

* clean

* fix build

* adding conv multiple d

* adding conv multiple D

* add matrix padder

* add gemm padding to convnd

* adding group conv

* update gemm multi-d

* refactor

* refactor

* refactor

* clean

* clean

* refactor

* refactor

* reorg

* add ds

* add bias

* clean

* add G

* adding group

* adding group

* adding group

* update Tensor

* clean

* update example

* update DeviceGemmMultipleD_Xdl_CShuffle

* update conv bwd-data and bwd-weight

* upate contraction example

* update gemm and batch gemm with e permute

* fix example build

* instance for grouped conv1d

* update example

* adding group conv instance

* update gemm bilinear instance

* update gemm+add+add+fastgelu instance

* update profiler

* update profiler

* update test

* update test and client example

* clean

* add grouped conv into profiler

* update profiler

* clean

* add test grouped conv, update all conv test to gtest

* update test

* change gemm_c_permute with contraction

* add grouped_contraction

* add contraction in group_gemm

* add example of grouped_gemm with contraction

* add example of grouped_contraction_bias_e_permute

* clean

* fixed ds

* add m3n2 m2n3 examples into gemm_bias_e_permute
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* allow selecting compiler version

* fix typo

* add Wno-deprecated flag for google tests

* change git repo, fix qa log files names

* change the git clone syntax

* use Omkar's git credentials

* try to use jenkins as git user

* try using illsilin username for gerrit repo with ssh key

* try new gerrit authorization

* change ssh key syntax

* try another way of passing ssh key to docker

* add mount ssh in dockerfile

* create .ssh folder

* move ssh-keyscan to later

* get rid of npm call

* build first docker image on master

* check the contents of the .ssh folder

* try replacing omkars creds with gerrit creds

* use open repo, clean up changes

* get rid of ssh default argument

* add conv oddC

* update example

* update example

* fix bug in example

* fix bug in group conv example

* Add int8 specialization for elementwise Add and Subtract.

* CGEMM examples bf16, fp32, int8

* Add convert reference output to CDataType.

* Skip BF16 data type during testing.

* Lower K value to get rid of accumulation error.

* Fix merge artifact.

* Fix changed function name: GetElementSpaceSize()

* Fix merge artifact.
Co-authored-by: Adam Osewski <aosewski@amd.com>

* turn on full qa only on gfx90a, use int initialization

* change script syntax

* update script parsing clinfo, throw exception if 0 devices

* fix syntax

* try using toBoolean for the QA conditions

* run regular CI on MI100 only, use MI200 only for daily QA

* evaluate when conditions before agent

* launch QA on develop branch and update profile_reduce script

* update test script

* update script

* remove false dependency from dockerfile

* try removing rbuild completely
Co-authored-by: Chao Liu <chao.liu2@amd.com>
Co-authored-by: Chao Liu <lc.roy86@gmail.com>

* convnd_fwd fp16 example

* update example

* update example

* update instance

* updating refernce conv

* update reference conv

* update conv fwd profiler

* update conv 1d and 3d instance

* update include path

* clean

* update profiler for conv bwd data and weight

* update conv bwd weight

* clean

* update conv example

* update profiler for conv bwd weight

* update ckprofiler for conv bwd data

* fix reference conv bwd data bug; update conv bwd data test

* update examples

* fix initialization issue

* update test for conv fwd

* clean

* clean

* remove test case too sensitive to error threshhold

* fix test

* clean

* fix build

* adding conv multiple d

* adding conv multiple D

* add matrix padder

* add gemm padding to convnd

* adding group conv

* update gemm multi-d

* refactor

* refactor

* refactor

* clean

* clean

* refactor

* refactor

* reorg

* add ds

* add bias

* clean

* add G

* adding group

* adding group

* adding group

* update Tensor

* clean

* update example

* update DeviceGemmMultipleD_Xdl_CShuffle

* update conv bwd-data and bwd-weight

* upate contraction example

* update gemm and batch gemm with e permute

* fix example build

* instance for grouped conv1d

* update example

* adding group conv instance

* update gemm bilinear instance

* update gemm+add+add+fastgelu instance

* update profiler

* update profiler

* update test

* update test and client example

* clean

* add grouped conv into profiler

* update profiler

* clean

* add test grouped conv, update all conv test to gtest

* update test

* add batched_gemm_multiD

* add ds

* rename file

* add batched_gemm_bias example

* add batch_strides into bmm_c_permute

* clean

* rename example_28 to example_29
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* add verify flag and update scripts

* replace old check_error function with the new check_err

* fix syntax

* remove blank spaces

* remove empty line

* add check_err for tensors

* fix syntax

* replace tensors with vectors in check_err calls

* fix syntax

* remove blank spaces

* fix syntax

* add new line at end of file

* disable conv2d_bwd_weight test, add gpu check

* set check_gpu using export

* check GPU using runShell

* add definition of runShell

* fix script syntax

* reduce the number of threads, add full qa option

* run processing scripts in bash

* fix the branch and host names in performance scripts, add chronos

* replace parameterizedCron with cron

* archive the perf log files

* try to fix git call

* pass branch and host names as arguments into scripts

* fix script arguments

* fix script arguments

* process results on master

* fix pipeline

* add definition of gpu_arch

* run processing scripts in docker

* fix the brackets

* add agent master for the processing stage

* get rid of show_node_info call on master

* try using mici label instead of master, disable MI100 tests for now

* fix syntax

* simplify container for results processing

* remove node(master) from the process_results stage

* put all stages in original order

* change the agent label from master to mici for gfx908

* replace gridwise_v2r3 with multiD

* adjust parameters

* add instances

* fixed test_grouped_gemm

* fix standalone softmax race condition around blockwise reduction

* fixed ci

* fixed comment: remove redundant workspace

* use instanceFactory

* add test layout

* add empty Ds

* add bias example

* use array

* sperate examples
Co-authored-by: Anthony Chang <ac.chang@outlook.com>